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mt5-en-vi
Kudod/mt5-en-vi
mt5-en-vi is a machine learning model from Kudod. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Jul 20, 2023
- Updated
- Jun 27, 2025
- SHA
- 55b3297f
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
mt5-en-vi
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0899
- Bleu: 33.7403
- Gen Len: 33.5655
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 0.0673 | 1.0 | 16665 | 0.0797 | 34.0481 | 34.1964 |
| 0.0571 | 2.0 | 33330 | 0.0800 | 34.4295 | 33.8628 |
| 0.049 | 3.0 | 49995 | 0.0826 | 34.5717 | 33.6002 |
| 0.0395 | 4.0 | 66660 | 0.0865 | 33.9953 | 33.608 |
| 0.0343 | 5.0 | 83325 | 0.0899 | 33.7403 | 33.5655 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.7.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.1
- Library
- transformers
- Type
- mbart
- Created
- Jul 20, 2023
- Updated
- Jun 27, 2025